code: def get_score(metric: str, value):
      if metric == "acc":
          return value * 100
      return value
  
file_path: lm-evaluation-harness/scripts/make_leaderboard.py
imports: import os
  from pathlib import Path
  import json
  import pandas
  import blobfile
label_desc: Use image node_id 2 for calling a global function with example usage: get_score(metric, value) and returns: value, unknown